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Institute of Theoretical and Applied Informatics, Polish Academy of Sciences

Institute of Theoretical and Applied Informatics, Polish Academy of Sciences

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Found 5 results
Filters: Author is Pawel Plawiak and Keyword is Data mining  [Clear All Filters]
2024
Ahmad A, Ahmad T, Masood S, Siddiqui M.Khizir, El-Rahiem BAbd, Plawiak P, Alblehai F.  2024.  A Probabilistic Approach for Extractive Summarization Based on Clustering Cum Graph Ranking Method. IEEE Access. 12
2021
Roui MBeheshti, Zomorodi M, Sarvelayati M, Abdar M, Noori H, Plawiak P, Tadeusiewicz R, Zhou X, Khosravi A, Nahavandi S et al..  2021.  A novel approach based on genetic algorithm to speed up the discovery of classification rules on GPUs. Elsevier, Knowledge-Based Systems. 231 (3.12 MB)
2020
Nasarian E, Abdar M, Fahami MAmin, Alizadehsani R, Hussain S, Basiri MEhsan, Zomorodi-Moghadam M, Zhou X, Plawiak P, U. Acharya R et al..  2020.  Association between work-related features and coronary artery disease: A heterogeneous hybrid feature selection integrated with balancing approach. Elsevier, Pattern Recognition Letters. 133:33-40. (913.08 KB)
Plawiak P, Abdar M, Pławiak J, Makarenkov V, U Acharya R.  2020.  DGHNL: A new deep genetic hierarchical network of learners for prediction of credit scoring. Elsevier, Information Sciences. 516:401-418. (1.21 MB)
Samami M, Akbari E, Abdar M, Plawiak P, Nematzadeh H, Basiri MEhsan, Makarenkov V.  2020.  A mixed solution-based high agreement filtering method for class noise detection in binary classification. Elsevier, Physica A: Statistical Mechanics and its Applications. :124219. (5.51 MB)

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